Case studies

ECONSULT+: Supporting Parkinson’s assessment in teleconsultations

With Savoir Montfort and the University of Ottawa, Virtuosis AI explores how speech analysis can support earlier recognition of Parkinson’s disease in primary care teleconsultations. The project addresses subtle symptoms that can delay diagnosis, using voice-derived indicators to inform clinical reasoning and patient triage. Consultation analysis and physician-training simulations help establish how these insights can support assessment and referral decisions.

AQVPA: Supporting older adults’ mental and cognitive health

Green outline shield with text Liberté et Patrie and words canton de vaud in green.

Virtuosis AI, EHL and the Swiss Data Science Center (SDSC) work with home-care associations and healthcare professionals to identify early signs of psychological distress and cognitive decline through voice analysis. Addressing challenges linked to isolation and loss of autonomy, the project aims to give caregivers and families personalised indicators that support timely follow-up and care planning.

VITA: Earlier recognition of distress in home care

With AutonomY and ProSeniors, Virtuosis AI analyses phone conversations to help identify psychological distress in older adults living at home. Real-time risk scores are intended to help home-care teams prioritise follow-up and tailor prevention plans. The pilot evaluates clinical and organisational impact, usability and adoption, with informed consent, HDS hosting and a privacy-by-design approach.

TELEMAQUE: Mental health screening for university students

Through Geneva University Hospitals’ HUG@Home platform, Virtuosis AI will support mental health screening during students’ remote primary care consultations. Students choose whether to participate when booking. Performance is evaluated against established clinical reference scales to assess how speech analysis can complement clinical assessment within the telemedicine workflow.

FAVOUR-RD: Addressing psychological distress in rare disease

Together with MaRaVal and Centre Qorraj, Virtuosis AI evaluates speech-based screening for psychological distress in children living with rare diseases and their families. The project examines whether approaches studied in adults also perform reliably in paediatric populations. Participants showing potential vulnerability can be referred to specialised psychiatric home care, linking screening with a family-centred support pathway.

University Hospital Basel: Supporting differential diagnosis during consultations

The collaboration with University Hospital Basel (USB) explores whether speech can support differential diagnosis involving psychiatric disorders, behavioural variant frontotemporal dementia (bvFTD) and primary progressive aphasia (PPA). Speech is captured ambiently during routine in-person consultations, with results returned to an openEHR environment. The project assesses clinical usefulness as a complement to clinical assessment, without additional patient tasks or disruption to consultations.

University Hospital Basel building, photographed from the entrance lawn